Full-timeTech & engineering· Posted 16 Aug

Software Engineer

VisaFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

Join Visa's Resolve Online engineering team as a software engineer working on AI-driven dispute management solutions. You'll build enterprise-scale features using Generative AI, machine learning and conversational AI tools, collaborating closely with product, DevOps and peer engineers. This suits engineers who enjoy AI technologies and want their work to affect customer experience and operational efficiency.

What you'll do

Work independently on defined problems and features
Apply established architectural patterns using sound technical judgment
Take ownership of code quality, testing and production reliability
Partner with GenAI agents for code generation, refactoring and automated testing
Experiment in Visa's AI sandbox with various GenAI models and frameworks
Apply Generative AI models to API integration, anomaly detection and intelligent automation

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Collaborate actively within a cross-functional team

Translate functional requirements into clean, efficient and maintainable code

Write readable, testable code that follows defined engineering standards

Develop and maintain automated unit and component tests

Identify and fix defects, performance issues and reliability gaps in owned areas

Take part in production releases and operational readiness activities

Work closely with Product Managers, DevOps and peer engineers

Good to know

At least 3 days per week in the office, with exact days confirmed by your hiring manager
Location is Singapore

Requirements

Bachelor's degree in computer science, engineering, information systems or a related technical field, or 3+ years of relevant work experience
1–2 years of hands-on software engineering experience with enterprise Java/J2EE applications, ideally Spring Boot, RESTful APIs, microservices and modern front-end frameworks such as Angular or React
Hands-on experience with AI-assisted software delivery, including generative AI coding assistants and developer productivity tools such as Claude Code CLI, GitHub Copilot or Cline
Working knowledge of applied AI concepts such as large language models, embeddings, retrieval-augmented generation, agentic workflows, model limitations, data privacy and responsible AI
Strong foundation in software engineering principles, clean code, object-oriented design, data structures, algorithms, distributed systems and scalable architecture
Strong analytical, problem-solving and debugging skills across application, integration, data, infrastructure and AI-assisted workflows

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Software Engineer

About the role

What you'll do

Good to know

Requirements

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